\begin{tabular}{p{.45\textwidth}*{4}{r@{}l}}
\hline
\hline
& \multicolumn{2}{c}{Model 1} & \multicolumn{2}{c}{Model 2}  \\
\hline
treated             &      -0.220&   &      -0.254&   &      -0.228&   &      -0.257&   \\
                    &     (0.569)&   &     (0.629)&   &     (0.621)&   &     (0.690)&   \\
v04b                &       0.015&   &       0.017&   &       0.013&   &       0.015&   \\
                    &     (0.044)&   &     (0.047)&   &     (0.046)&   &     (0.051)&   \\
population          &      -0.000&   &      -0.000&   &      -0.000&   &      -0.000&   \\
                    &     (0.000)&   &     (0.000)&   &     (0.000)&   &     (0.000)&   \\
v106                &       0.004&   &       0.005&   &       0.007&   &       0.007&   \\
                    &     (0.011)&   &     (0.012)&   &     (0.012)&   &     (0.013)&   \\
male                &       0.688&** &       0.728&** &       0.604&*  &       0.655&*  \\
                    &     (0.301)&   &     (0.319)&   &     (0.320)&   &     (0.341)&   \\
riskloss            &      -0.062&   &      -0.065&   &      -0.063&   &      -0.068&   \\
                    &     (0.159)&   &     (0.173)&   &     (0.157)&   &     (0.170)&   \\
muslim              &       0.610&   &       0.602&   &       0.493&   &       0.489&   \\
                    &     (0.529)&   &     (0.516)&   &     (0.513)&   &     (0.562)&   \\
christian           &       0.532&   &       0.512&   &       0.449&   &       0.435&   \\
                    &     (0.377)&   &     (0.402)&   &     (0.377)&   &     (0.411)&   \\
education           &            &   &            &   &       0.063&   &       0.049&   \\
                    &            &   &            &   &     (0.089)&   &     (0.097)&   \\
income10k           &            &   &            &   &      -0.028&   &      -0.029&   \\
                    &            &   &            &   &     (0.117)&   &     (0.126)&   \\
v205                &            &   &            &   &       0.432&*  &       0.436&   \\
                    &            &   &            &   &     (0.249)&   &     (0.279)&   \\
Constant               &       2.386&***&       2.364&***&       2.137&** &       2.142&** \\
                    &     (0.858)&   &     (0.883)&   &     (0.852)&   &     (1.020)&   \\
var(e.Donation)     &            &   &       2.808&***&            &   &       2.760&***\\
                    &            &   &     (0.421)&   &            &   &     (0.459)&   \\
\hline
N.obs.              &         127&   &         127&   &         126&   &         126&   \\
\hline \multicolumn{9}{p{\textwidth}} {\footnotesize{\textbf{Notes:} Dependent variable: coins appropriated by the dictator. Models 1 and 3: OLS regression, models 2 and 4: left-censored Tobit regression. All models include village fixed-effects. Robust standard errors clustered at the village level. Compared to models 1 and 2, models 3 and 4 controls for income, finance, and education levels. Controls include: age,  gender, religion, estimation of risk preferences. Symbols $***$, $**$, and $*$ indicate significance at the 1\%, 5\% and 10\% level, respectively.}} \end{tabular}
